The Use of Big Data Analytics in E-commerce Marketing: A Case Study of Morocco

Big data analytics in e-commerce marketing is an evolving concept that alludes to injecting big data into e-commerce platforms’ ecosystem to gain a competitive advantage. The concept of Big data analytics is defined by the three V’s: high Variety, High Volume, and High Velocity according to Gartner Inc. that underscores the importance of leveraging data-driven insights in e-commerce marketing in Morocco, by effectively managing large volumes of data, processing information at high speeds, and handling diverse data types, Moroccan e-commerce businesses can unlock valuable insights, drive targeted marketing efforts, and achieve competitive advantages in the rapidly evolving digital marketplace. This paper explores the utilization of big data analytics in e-commerce marketing, with a specific focus on the Moroccan market. In recent years, the e-commerce landscape in Morocco has witnessed significant growth, driven by increasing internet penetration and consumer adoption of digital technologies. As e-commerce businesses strive to remain competitive in this evolving market, the integration of big data analytics into marketing strategies has emerged as a crucial driver of success. Understanding the motivations provides insight into this study's purpose, scope, and potential impact on both academic research and practical applications in the Moroccan e-commerce sector, despite the growing importance of e-commerce and big data analytics worldwide, there remains a scarcity of research focusing specifically on the Moroccan market. To adopt the technology of Big Data and to foster innovation and competitiveness in the sector, This study presents a case study analysis of the application of big data analytics in e-commerce marketing in Morocco, the complexity of the system increases, so too does the need for sophisticated information drawing on empirical data and theoretical frameworks. A comprehensive examination of a real-world e-commerce marketing campaign highlights the benefits, challenges, and implications of leveraging big data analytics for marketing purposes in the Moroccan context. The findings shed light on the effectiveness of big data analytics in enhancing customer segmentation, personalizing marketing communications, and optimizing marketing ROI. Furthermore, the study discusses the broader implications of these findings for e-commerce businesses in Morocco, offering insights into the future of data-driven marketing strategies in the region. The article contributes to the academic literature by providing empirical data and theoretical insights specific to the Moroccan context, which can be a valuable resource for scholars, researchers, and students interested in e-commerce, big data analytics, and emerging markets.